The increase in number and variety of malware samples amplifies the need for improvement
in automatic detection and classification of the malware variants. Machine learning is a …

Malware, short for Malicious Software, is growing continuously in numbers and
sophistication as our digital world continuous to grow. It is a very serious problem and many …

Performing large-scale malware classification is increasingly becoming a critical step in
malware analytics as the number and variety of malware samples is rapidly growing …

Malware development has seen diversity in terms of architecture and features. This
advancement in the competencies of malware poses a severe threat and opens new …

Current malware detection and classification approaches generally rely on time consuming
and knowledge intensive processes to extract patterns (signatures) and behaviors from …

According to AV vendors malicious software has been growing exponentially last years. One
of the main reasons for these high volumes is that in order to evade detection, malware …

Malicious software, called malware, can perform harmful actions on computer systems,
which may cause economic damage and information leakage. Therefore, malware …

In this paper, we propose a deep learning framework for malware classification. There has
been a huge increase in the volume of malware in recent years which poses a serious …

Classification of malware families is crucial for a comprehensive understanding of how they
can infect devices, computers, or systems. Hence, malware identification enables security …

Recent technological developments in computer systems transfer human life from real to
virtual environments. Covid-19 disease has accelerated this process. Cyber criminals' …